TY - GEN
T1 - Non-invasive intracranial pressure classification using strong jumping emerging patterns
AU - Wira Angriyasa, Putu
AU - Rustam, Zuherman
AU - Sadewo, Wismaji
PY - 2011
Y1 - 2011
N2 - In neurosurgery, information about condition of Intracranial Pressure (ICP) is important for diagnosing and treating brain tumor or traumatic brain injury (TBI). Invasive measurement using ICP monitoring is the standard method for getting information about Intracranial Pressure (ICP). In some case, related with availability of facility and risk of performing surgery in invasive measurement, non-invasive method is needed. In this paper, the non-invasive method for getting ICP condition uses the level of Superoxide Dismutase (SOD), Catalase (CAT), Nicotinamide Adenine Dinucleotide Phosphate (NADPH), and Malondialdehyde (MDA) as oxidative stress indicators. Using these indicators, ICP would be classified into normal, low, and high condition. For classification purpose, we propose Strong Jumping Emerging Patterns (SJEPs) as a classification method, and for discretization purpose, we use Entropy method.
AB - In neurosurgery, information about condition of Intracranial Pressure (ICP) is important for diagnosing and treating brain tumor or traumatic brain injury (TBI). Invasive measurement using ICP monitoring is the standard method for getting information about Intracranial Pressure (ICP). In some case, related with availability of facility and risk of performing surgery in invasive measurement, non-invasive method is needed. In this paper, the non-invasive method for getting ICP condition uses the level of Superoxide Dismutase (SOD), Catalase (CAT), Nicotinamide Adenine Dinucleotide Phosphate (NADPH), and Malondialdehyde (MDA) as oxidative stress indicators. Using these indicators, ICP would be classified into normal, low, and high condition. For classification purpose, we propose Strong Jumping Emerging Patterns (SJEPs) as a classification method, and for discretization purpose, we use Entropy method.
UR - http://www.scopus.com/inward/record.url?scp=84857298008&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84857298008
SN - 9789791421119
T3 - ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
SP - 377
EP - 380
BT - ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
T2 - 2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
Y2 - 17 December 2011 through 18 December 2011
ER -